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📝 Add note on outsourcing thinking
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Artificial Intelligence Models.md
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Artificial Intelligence Models.md
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- "AIs" can be dangerous in underspecified environments (e.g: pausing games to last longer in the level) but those are the places where we will use them most. If something is well specified, there might be better solutions/optimizations (maths, code, ...).
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- [When the main purpose of writing is to demonstrate your thinking (building trust, applying for a job), don't use LLM output](https://x.com/HamelHusain/status/1976720326106173673). Use LLMs when you need to communicate info, or do admin stuff, where the person really just wants info and doesn't need to be convinced "how you think". LLMs are good at writing but bad at thinking.
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- LLMs are helpful when you want the output/result and don't need to do the work yourself (e.g: [going to the gym](https://danielmiessler.com/blog/keep-the-robots-out-of-the-gym) doesn't work if the weights are automatically lifted).
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- Personal communication and writing as trust and self expression. Rewriting with LLMs changes meaning, blurs authorship, erodes voice.
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- [Don't outsoutce thinking](https://erikjohannes.no/posts/20260130-outsourcing-thinking/). That means tasks that:
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- Build complex tacit knowledge you'll need for navigating the world in the future.
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- Are an expression of care and presence for someone else.
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- Are a valuable experience on its own.
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- Are deceptive to fake.
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- LLMs as "stateless functions". Fixed weights, no updating. LLMs are in-context learners.
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- LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro). [Generalists might increasingly outperform specialists](https://x.com/karpathy/status/2015883857489522876).
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- The skill you want to build is the ability to understand problems and have some concept of how to solve them.